The Climate Change and Flooding: Bibliometric Analysis to Identify Fu-ture Research

Reservoirs are crucial for agriculture and energy generation, and scientists are exploring ways to increase their capacity, reduce water losses, and monitor changes due to hydrodynamic processes. Currently, hydrodynamic processes in reservoirs are studied using physical and mathematical models. This study used bibliometric analyses to investigate the importance of water reservoirs. Data from 2000 to 2023, sourced from the Web of Science database, were analyzed using the keywords “Reservoirs”, “Dynamics”, and “Sediment”. The analysis of 205 publication revealed that 82% of publications were scientific articles, and there is a positive trend with a correlation of 86%. The top 10 authors contributed approximately 20% of the publications. Chinese scientific organizations conduct numerous studies on hydrodynamics and sedimentation processes in reservoirs. The Chinese Academy of Sciences was the top institution, with 15 records. The study of water bodies through modeling in a climate change context has become increasingly popular. Water Resources Research is the leading journal for publishing research on reservoir flow dynamics and sedimentation processes. The study of water bodies through modeling in the context of climate change has become increasingly popular. The study used bibliometric tools to analyze the co-occurrence of authors, keywords, thematic evolution, and interrelationships. The results revealed four key research areas: sediment and its transportation, reservoirs, and dynamics. Results also show that almost 50% of articles focus on various models used to study sediment movement in reservoirs, including numerical, mathematical, and hydrodynamic models. Finally, bibliometric analysis of water reservoirs shows numerical, mathematical, and hydrodynamic modeling of flow dynamics and sedimentation of reservoirs are expected to remain dominant in the upcoming decade.

Due to the importance of using metaverse technology in various fields, it is essential to examine published works on this subject. This study aims to reveal the current status and trends of the field by reviewing works that include the concept of "metaverse" through the Web of Science (WoS) database with bibliometric analysis techniques. Data were gathered from the WoS database using the bibliometric analysis method within the framework of a quantitative research design. The VOSviewer program was used to process the data. There were 5334 results for the keyword search "metaverse" in Web of Science. The obtained data were examined through author, citation, keyword, country, and institution analyses. When the publication years of works related to the concept of "metaverse" were examined, the examination determined that the highest concentration was in 2023 and 2024, and the names that created the most works were Dusit Niyato (63), Zehui Xiong (36), and Jiawen Kang (35). In terms of the distribution of the most frequently cited works on the metaverse by country, it was determined that the People's Republic of China was the leader (13006 citations), followed by the United States (10516 citations) and South Korea (6140 citations). The most frequently cited institution was the Chinese Academy of Sciences (1756 citations). It was concluded that the most frequently cited countries and institutions on the metaverse were Asian. The results can be compared by analyses similar to those of other programs performing bibliometric analysis.

To conduct a bibliometric analysis, several researchers retrieve publications from Scopus or/and Web of Science (WOS) databases. When these scholars consider both Scopus and WOS databases, they mostly make two bibliometric analysis: one from Scopus database and the other from WOS database. A few researchers merge the two databases to conduct a single analysis, but they do not specify how they did it. This paper aims to advance the bibliometric analysis by addressing two points. First, this research claims that making a bibliometric analysis that takes information from Scopus or/and separately from WOS cannot give a broader view of knowledge and tendencies in a field. To prove this claim, we retrieve papers from Scopus and WOS databases to make a bibliometric analysis of sales force literature that covers from 1912 to 2019. Results show that there are many disparities between WOS and merged database, and between this latter and WOS database regarding bibliometric analyses, especially among primary productive authors, the most influential papers, and keyword occurrences. Second, this research proposes a four-step procedure that merges these two databases to allow more reliable bibliometric analyses. This procedure was explicitly shown by using the bibliometric analysis of sales force literature during 1912–2019.

Bibliometric analysis of landslide research based on the WOS database

As a powerful statistical method, meta-analysis has been applied increasingly in agricultural science with remarkable progress. However, meta-analysis research reports in the agricultural discipline still need to be systematically combed. Scientometrics is often used to quantitatively analyze research on certain themes. In this study, the literature from a 30-year period (1992–2021) was retrieved based on the Web of Science database, and a quantitative analysis was performed using the VOSviewer and CiteSpace visual analysis software packages. The objective of this study was to investigate the current application of meta-analysis in agricultural sciences, the latest research hotspots, and trends, and to identify influential authors, research institutions, countries, articles, and journal sources. Over the past 30 years, the volume of the meta-analysis literature in agriculture has increased rapidly. We identified the top three authors (Sauvant D, Kebreab E, and Huhtanen P), the top three contributing organizations (Chinese Academy of Sciences, National Institute for Agricultural Research, and Northwest A&F University), and top three productive countries (the USA, China, and France). Keyword cluster analysis shows that the meta-analysis research in agricultural sciences falls into four categories: climate change, crop yield, soil, and animal husbandry. Jeffrey (2011) is the most influential and cited research paper, with the highest utilization rate for the Journal of Dairy Science. This paper objectively evaluates the development of meta-analysis in the agricultural sciences using bibliometrics analysis, grasps the development frontier of agricultural research, and provides insights into the future of related research in the agricultural sciences.

As impacted by climate change and further global warming, drought turns out to be the most frequent meteorological extreme event worldwide, which severely affects agriculture, ecosystem, water management, and even human survival. In this study, the global pattern and development trends and directions on drought monitoring were presented based on Web of Science database by conducting a bibliometric analysis from 1983 to 2020. The following conclusions were drawn. 1) The United States and China were found as the most productive and influential nations, accounting for 24.63% and 14.30% in publication outputs and taking up 5,023 and 2,040 in local citations, respectively. 2) Chinese Academy of Science was reported as the core institution with 5.73% publication outputs and 829 local citations. 3) Remote Sensing of Environment and Remote Sensing were found as the most influential journals and the most productive journals with 1,045 local citations and 210 publication outputs, respectively. 4) Agricultural drought profoundly affecting food security was found as the most concerning drought type in the world. The drought monitoring research mainly focus on the research and development of drought index, the response of terrestrial ecosystems to drought, and the trends and dynamics of drought in context of climate change. This study explored key findings, contradictions, and limitations of drought monitoring studies were summarized and explored. In addition, the development trend and research direction of drought monitoring research in the future were also explored.

The purpose of this work is to analyze the development direction and prospects in the field of artificial intelligence (AI) in metal–organic frameworks (MOFs) and to provide reference information for related research and industry personnel. The scientific papers on AI in MOFs published in Web of Science database from 2013 to mid-2024 were collected. Bibliometric methods and knowledge mapping visualization software were used to analyze the papers. Both quantitative statistics and qualitative comparative analysis of global scientific papers were done in terms of annual paper trends, papers by major countries, authors, institutions, journals and research topics, respectively. The results showed that the number of published papers has increased in recent years. The top three productive countries are China, the USA and Germany, respectively. The top three productive institutions are Guangzhou University, Northwestern University and Chinese Academy of Sciences, respectively. Reference co-citation analysis classifies references into four clusters, and keyword co-occurrence analysis divides keywords into six clusters. Bibliometric and network analyses were utilized to examine the distribution of research outcomes, enabling scholars to discern the prevailing trends and focal points within the domain of AI-MOFs.

Purpose This study outlines the key research areas, recent trends and future research directions in information communication technologies (ICTs) enabled entrepreneurship, as research activities on ICTs in entrepreneurship have gained significant momentum in recent decades, driven by technological advancements and business innovativeness. Design/methodology/approach In this paper, we used a bibliometric systematic literature review, including citation, co-citation and keyword analysis of 182 documents published from 2005 to 2024 and exported from the Scopus and Web of Science (WoS) databases. We have also utilized bibliometric coupling analysis to determine emerging themes in this area. Findings The most productive year was 2023, and the most productive journal, institute and country are the “Journal of Small Business and Enterprise Development,” “Beijing University of Posts and Telecommunications” and the UK, respectively. The “Journal of Enterprise Information Management” is the most influential journal. A future research direction is proposed based on the six emerging clusters and identified gaps. Research limitations/implications The study is based on the exclusive use of the Scopus and WoS databases, which could be expanded to other databases. Only articles were considered, excluding book chapters and conference papers. Originality/value The study is distinctive as it recognizes the intellectual structure and advancement in ICT-enabled entrepreneurship. By comprehensively reviewing the existing literature, the study proposes a novel conceptual framework to serve as a foundation for future studies, offering significant insights for academics and practitioners to navigate the evolving landscape of this area.

PPAR-γ is one of three members of the PPAR group of the nuclear receptor superfamily and plays an important regulatory role as a ligand-dependent transcription factor. This study aimed to identify the top 100 most influential articles in the field of PPAR-γ. We hypothesized that a bibliometric and scientometric analysis of the PPAR-γ research field could render trends that provide researchers and funding agencies valuable insight into the history of the field, and potential future directions. A literature search of publications was carried out using the Web of Science (WOS) and Scopus database based on specific subject words on September 11, 2023. Articles were listed in descending order of the number of citations. Statistical analysis was performed on the data of the top 100 cited articles in terms of year of publication, journal, research direction, institution, author, and country. Meanwhile, co-authorship networks and co-citation networks were constructed by using VOSviewer software, and keywords were analyzed for co-occurrence. A total of 9,456 articles regarding PPAR-γ were identified and analyzed based on the WOS database, and the top 100 cited articles in the field of PPAR-γ were ranked by citation. The most cited article was published in 1998, with 2,571 citations and a density of 102.80 citations/ year. Of the 100 articles, Harvard University was the institution with the highest number of articles published. Spiegelman, B. M. was the author with the highest number of articles published. Using the VOSviewer software, we found that the most used keywords were geneexpression, activated receptor-gamma, and adipocyte differentiation. PPAR-γ, one of the most widely studied transcription factors, is an important drug target for many diseases. Therefore, screening for small molecule compounds targeting PPAR-γ remains of great value. The present study identified the top 100 most influential articles in the field of PPAR-γ, which help global researchers to better understand research perspectives and develop future research directions of PPAR-γ.

In this study, a bibliometric analysis is presented that examined 228 publications concerning Pontastacus leptodactylus (Astacus leptodactylus) in Türkiye, published between 1989 and 2024 and indexed in the Web of Science (WoS) database. The findings reveal that the number of publications increased from the 2000s onward, peaking between 2010 and 2022, but declining in 2023–2024. Research articles (216=94.7%) constitute the main body of academic output, while other document types, such as review articles (7) and conference papers (2), remain limited. Among the most prolific authors, Harlıoğlu, Muzaffer Mustafa (43 publications) leads, followed by Harlıoğlu, Ayşe Gül (17) and Mazlum, Yavuz (16), with research primarily concentrated in the categories of Fisheries (72), Marine and Freshwater Biology (51), and Environmental Sciences (36). Fırat University (73) emerged as the leading institution, with notable contributions from Gazi University (23) and Munzur University (22). The most cited studies include Harlıoğlu and Harlıoğlu (2004) with 77 citations and Kokko et al. (2021) with 62 citations. Keyword analysis highlights the centrality of terms such as Astacus leptodactylus (70), crayfish (69), and growth (19), encompassing topics like reproduction, oxidative stress, and artificial neural networks. The findings indicate that research in Türkiye into P. leptodactylus is predominantly focused on biological, ecological, and environmental aspects; however, greater efforts are needed to enhance international visibility and strengthen interdisciplinary collaboration. Future studies on issues such as disease, the effects of invasive species, stock protection, climate change and habitat loss will be critical for the sustainable management and scientific contributions of the species.

As the tremendous development in the field of consumer behaviour of SUV users in the automobile industry is going on, this study aims to conduct an extensive bibliometric analysis to manifest an outline of the research conducted during the past two decades. From 2002 to 2021, a dataset of 256 articles has been retrieved from the Web of Science (WoS) database as of 10-04-2022. The results of the study show that consumer behaviour research has been steadily expanding in recent years. Furthermore, it provides a deeper insight into publication trends, most productive authors, institutions, countries, and journals by using VOSviewer. The major studies were conducted in developed nations, i.e., USA, Australia, and Canada. Moreover, keyword network analysis provides potential research avenues, hence future studies might focus on separating research themes using bibliometric coupling analysis. This paper's contribution is to enlarge the diffusion trend of this emerging field to the bibliometric techniques.

This study aimed to identify and investigate the main characteristics of the top 100 most cited studies on conflict in published in nursing category in the Web of Science database using bibliometric and social network analysis methods. A retrospective bibliometric analysis was used. The study data were obtained from the Web of Science (WoS) database. The top 100 studies with the highest number of citations were included in the study. The study data were analysed with Excel and SPSS and they were visualized with VOSviewer. It was concluded that the studies in the research were published in 38 different journals between 1974-2019 and they were conducted by 245 different authors from 24 different countries. It was further reported that the Journal of Advanced Nursing was the most productive journal and the USA was the most productive country. The most commonly used keywords were "nurse," "conflict," "nursing," "job satisfaction," "work-family conflict" and "ethical conflict." The issue of conflict is a growing field of scientific study for nursing researchers. The quality of researches will be certainly enhanced in future with the studies published in journals with high impact factors. The research of the top 100 most cited paper is a new and innovative bibliometric approach to understand nursing literature. There is very little information about the development, structure and characteristics of the existing mass of knowledge on conflict in nursing studies. The study findings establish a basis of information for planning further studies and providing guidance. In addition, this study provides researchers, scientific journals, institutions and countries with an opportunity to assess and compare their own performance in conflict literature in nursing studies. However, the fact that the most cited studies in the field of conflict in nursing is in demand by journals with high impact factor is a source of motivation for researchers studying in this field.

Background: Global scientific research output is continuously accelerating. Although psychiatric scientific output is increasing, factors such as health systems, scientific programs and financial supports that vary between countries lead to varied levels of contribution. This cross sectional bibliometric study aims to analysis the articles bibliometrically which conducted by researchers from Turkey and indexed in SCI-E index of the Web of Science (WoS)database in the category of Psychiatry. Methods: According to 2019 data, in the WoS database, journals in the Psychiatry category and indexed in the SCI-E were determined. Publications from Turkey that were published in these journals was determined. For each publication, all information relevant to the analysis was exported to Microsoft Excel and EndNote Desktop. Also, VOSviewer software was used to create a collaboration and word co-occurrence network. Results: There were 5293 publications which have at least one author from Turkey. Only 774 articles (14.62%) were written as international collaborations. The authors from Turkey were collaborating with the researchers from 66 diffrent countries and USA was leading these countries with 420 publications (%7.93), followed by England (3.3%) and Germany (2.4), respectively. The total number of citations was 53931 for these publications (mean: 10.19±22.51). The most prolific institution is Istanbul University while the most frequently selected journal by Turkish authors is Psychiatry and Clinical Psychopharmacology. Conclusions: Bibliometric studies are crucial in evaluating domain specific research and in planning for efficient use of limited resources. Psychiatric literature from Turkey greatly increased within the last two decades. However, international collaborations are still limited and most of the publications are in journals published in Turkey. To cite this article: Topal Z, Bahsi I, Tufan AE. Evaluation of the Psychiatric Research Output From Turkey Via Web of Science Database: A Bibliometric Analysis. Psychiatry and Clinical Psychopharmacology 2020;30(4):423-433

Fireflies are very attractive insects that have obtained a lot of attention from nature tourists in recent years and firefly tourism has the potential to bring in a lot of income for local communities, states, regions, and even countries. Therefore, this study presents a literature review and bibliometric analysis of firefly tourism and fireflies Coleoptera Lampyridae research around the world from 2000 to 2022 to provide researchers and scholars around the world with a visualization or analyzing of the global mapping research trends results using RStudio 4.2.0 and Biblioshiny. A textual query on two databases; Scopus (643 articles), and Web of Science (78 articles) was performed on 12 June 2022 retrieving 721 scholarly articles from 2000 to 2022 for in-depth analysis. According to the findings of the analysis, there is a significant inconsistency of global trends in annual scientific production, with the number of publications increasing and decreasing. The United States of America (USA) has the highest number of scientific productions, as the most relevant author is Viviani VR (Scopus) and Lewis SM in Web of Science (WoS) database, while the most relevant journal is Zootaxa in Scopus and Web of Science database, and the most frequent word is “bioluminescence” in Scopus database but the word “Lampyridae” is the most used word in the Web of Science database. USA with Japan and China have the highest collaboration among other countries in this field of research topic. Keywords: Bibliometric analysis, Biblioshiny, fireflies, Lampyridae, RStudio, tourism

This study aims to conduct a bibliometric analysis of publications on culinary arts indexed in the Web of Science (WOS) database using the VOSviewer programme. In this context, bibliometric analysis method was utilized in the study. Within the context of the study, co-authorship analysis, analyses of keywords used by authors, analyses of citations to authors, institutions, and countries, bibliographic matching analyses of publications, authors, institutions, and countries, and co-citation analysis of authors were performed on data obtained from the Web of Science database. Network and density maps of the analysis results were drawn. According to the outcomes obtained in the research, it was ascertained that two groups of seven people cooperating in terms of joint publications were the groups with the highest number of members, the keyword ‘culinary arts’ was used the most by the authors, certain authors, institutions, and countries ranked first in terms of the number of publications and citations, and Kokoszko and Lee were the authors with the highest number of co-citations. Since there is no bibliometric research on publications with the title “culinary arts” indexed in the Web of Science database, the outcomes of this study have the potential to serve as an important reference for future research and to contribute to the literature.